4.7 Article

Rapid and intelligent discrimination of Notopterygium incisum and Notopterygium franchetii by infrared spectroscopic fingerprints and electronic olfactory fingerprints

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2020.118176

Keywords

Notopterygii Rhizoma et Radix; MIR spectroscopy; NIR spectroscopy; Electronic nose; Principal component analysis; Support vector machine

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Funding

  1. Natural Science Foundation of China [81872995]

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This preliminary research evaluated mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy and electronic nose (E-nose) for the rapid identification of Notopterygium incisum and Notoptetygium franchetii, which were both approved sources of Notopterygii Rhizoma et Radix (Chinese Pharmacopoeia, 2015) but possessed different chemical compositions and pharmacological activities. At the level of single variables, MIR showed quite a few discriminating peaks in the regions of 3000-2800 cm(-1) (the stretching bands of C-H), 1770-1670 cm(-1) (the stretching bands of C=O), and 1400-1200 cm(-1) (the bending bands of C-H and the stretching bands of C-O). Meanwhile. NIR only showed an intuitive discriminating peak near 4736 cm(-1) (the combination band of O-H and C-O stretching modes). E-nose response signals of N. incisum and N. franchetii were significant different (p < 0.05) on four sensors, i.e., LY2/LG, LY2/GH, LY2/gCT and LY2/gCTI. Using the infrared spectra or E-nose sensor responses as fingerprints, support vector machine (SVM) models can provide good recognition accuracy (100% for MIR and NIR models, 92.9% for E-nose model). This research indicated the feasibility of MIR, NIR and E-nose for the accurate, rapid, cheap and green identification of N. incisum and N. franchetii, which was desirable to assure the authenticity, efficacy and safety of related herb materials and products. (C) 2020 Elsevier B.V. All rights reserved.

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